AWS Machine Learning - AI

FEBRUARY 29, 2024

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock.

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

ParkMyCloud

DECEMBER 11, 2020

As another free Google Cloud training option, Google has also teamed up with Coursera , an online learning platform founded by Stanford professors, to offer courses online so you can “skill up from anywhere.”. Here you’ll learn new skills in a GCP environment and earn cloud badges along the way. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Compliance 50

Compliance Innovation Meeting Industry 50

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Cloudera

DECEMBER 28, 2017

With big data platforms, like ones based on open source software, banks can more effectively adapt to and quickly manage the wave of rules coming at them. We’re seeing a large increase in regulatory demand, the amount of data that we have to produce, and the accuracy of that information as well.

Banking 40

Banking Compliance Big Data Software Review 40

TIBCO - Connected Intelligence

DECEMBER 9, 2019

Analytics with data science has been one of the last enterprise systems to move to the cloud, but the situation has changed fundamentally in just the last year or two. . The cloud is quickly becoming everyone’s preferred way of doing machine learning and analytics. What to use—when and how . It really is that easy.

Artificial Inteligence 5

Artificial Inteligence Machine Learning Analytics Cloud 5

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

TIBCO - Connected Intelligence

FEBRUARY 22, 2021

For example, to become a data scientist, you must put in the work, gain experience with your own passion projects, and develop your skills over time to really change your career path. Ground level, you need some type of statistical and machine learning experience. For big data, Spark is worth learning as well.

Technical Advisors 26

Technical Advisors Data Machine Learning Artificial Inteligence 26

ProtectWise

MAY 22, 2017

Basic rules can be written to correlate known indicators and then report on the results but SIEMs are not good at detecting unknown attacks, analyzing big data in real time or understanding network and user behaviors. The ProtectWise Grid takes a modern approach to security, using deterministic (e.g.,

Malware 40

Malware Machine Learning Artificial Inteligence Analysis 40

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 70

Backup Data Engineering Engineering Data 70

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products. per user/month).

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. On June 18th, Cloudera provided an exclusive preview of these capabilities, and more, with the introduction of Cloudera Data Platform (CDP), the industry’s first enterprise data cloud. Unsatisfied with the inflexibility of simple cloud analytics.

Enterprise 87

Enterprise Cloud Data Data Center 87

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Analytics 71

Analytics Big Data Government Cloud 71

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Correlations across data domains, even if they are not traditionally stored together (e.g. The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Cloudera

SEPTEMBER 5, 2018

This architecture also features end-to-end data management and analytics capabilities, including the ability to push machine learning and intelligence back out to the ‘edge’ for real-time decision making. Its built-in security features enable analytics from the edge to the cloud. .

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

CodeSignal

MAY 2, 2018

So, some fail to realize that many recruiting processes and tools currently in use will soon improve significantly by the continual learning provided by Artificial Intelligence (AI). Recruiting leaders shouldn’t be surprised that I predict that “machine learning will soon begin to dominate every major aspect of recruiting.”

Recruiting 40

Recruiting Artificial Inteligence Machine Learning Artificial Intelligence 40

CodeSignal

MAY 2, 2018

So, some fail to realize that many recruiting processes and tools currently in use will soon improve significantly by the continual learning provided by Artificial Intelligence (AI). Recruiting leaders shouldn’t be surprised that I predict that “machine learning will soon begin to dominate every major aspect of recruiting.”

Recruiting 40

Recruiting Artificial Inteligence Machine Learning Artificial Intelligence 40

Altexsoft

NOVEMBER 10, 2022

You can’t imagine modern healthcare without data science. Bioinformatics – a modern area of study that sits between biology, medicine, mathematics, and computer science – is using complex software and big data analysis to understand the disease better than it was ever possible, and is succeeding at that. Big data scalability.

Analysis 52

Analysis Data Study Technical Review 52

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. Content for the latest, 2.4.2,

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52